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Mass transfer within complex media. Reverse Engineering : from usage property to material

Abstract : In the past decade, the growing use of numerous novel technologies as controlled-delivery systems has prompted a costly trial-and-error development of new and effective systems. In order to facilitate a more rational design and optimization, facing the set of existing possibilities, any solution that could semiautomate the product development would bring precious help to the users (formulation scientists and educators). This would facilitate the essential importance of choosing the right materials for the correct application. In this thesis, a long-term project concerning a reverse engineering is proposed, starting from a final usage property (controlled release), the global target is to develop a product design methodology which allows us to determine the optimal features of a formulation to prepare: phases in presence, composition, interface type, size and distribution of current objects, phase equilibrium, diffusion within phases and evolutionary character of the material. Considering a convenience example of structured-dispersed system: highly concentrated emulsions, the design problem has been decomposed into a hierarchical sequence of subproblems or boxes, combining constitutive models that estimate the active ingredient mass transport as a function of formulation parameters and computer-aided techniques such as molecular modeling for volume/area of molecules, or UNIFAC models for equilibria predictions as well as for mixture viscosities estimations. A subsequent full factorial design of virtual experiments has allowed to obtain a quantitative description of the release depending on the model parameters, and a principal component analysis has assessed the importance of the variables. Using a cartography focused on three surfactants (SPAN 80, PGPR and BRIJ 93), four oils (dodecane, hexadecane, isopropyl myristate and isopropyl palmitate) and mandelic acid as an active ingredient, the ab-initio physicochemical model has been experimentally validated. Results show that the mechanistic model consistently predicts the diffusion of the active ingredient from emulsions to a release medium in perfect sink conditions. This reverse engineering approach is showing to be of very high interest in the domain of formulation by allowing fast and robust screening preliminary studies on a broad range of components as well as precise and rigorous prediction tools to optimize controlled release from an identified system. It is fully recommended to implement its extensions to other similar disperse systems
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Submitted on : Monday, June 22, 2020 - 3:09:19 PM
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Antonio Aguilera Miguel. Mass transfer within complex media. Reverse Engineering : from usage property to material. Chemical engineering. Université de Lorraine, 2018. English. ⟨NNT : 2018LORR0046⟩. ⟨tel-01920302⟩



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